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online learning

1770 papers

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Also known as

OLO OL

Co-occurring keywords

regret bound (1918) multi-armed bandit (1091) stochastic optimization (1060) regret minimization (315) contextual bandit (379) reinforcement learning (4122) online algorithm (444) convex optimization (1320) adversarial learning (1592) continual learning (1164)

Papers

Optimal Arms Identification with Knapsacks ICML 2023
Online Linearized LASSO AISTATS 2023
Optimal Sample Complexity Bounds for Non-convex Optimization under Kurdyka-Lojasiewicz Condition AISTATS 2023
Non-stationary Reinforcement Learning under General Function Approximation ICML 2023
PCR: Proxy-Based Contrastive Replay for Online Class-Incremental Continual Learning CVPR 2023
Learning Human Contribution Preferences in Collaborative Human-Robot Tasks CORL 2023
No-Regret Learning with Unbounded Losses: The Case of Logarithmic Pooling NIPS 2023
Rehearsal-Free Online Continual Learning for Automatic Speech Recognition INTERSPEECH 2023
Online Ad Procurement in Non-stationary Autobidding Worlds NIPS 2023
Training Deep Surrogate Models with Large Scale Online Learning ICML 2023
Online Learning for Non-monotone DR-Submodular Maximization: From Full Information to Bandit Feedback AISTATS 2023
SentiStream: A Co-Training Framework for Adaptive Online Sentiment Analysis in Evolving Data Streams EMNLP 2023
Domain-Agnostic Neural Architecture for Class Incremental Continual Learning in Document Processing Platform ACL 2023
Online Clustering of Bandits with Misspecified User Models NIPS 2023
No-Regret Learning in Two-Echelon Supply Chain with Unknown Demand Distribution AISTATS 2023
Adversarial Resilience in Sequential Prediction via Abstention NIPS 2023
RECL: Responsive Resource-Efficient Continuous Learning for Video Analytics NSDI 2023
Online Learning for Traffic Routing under Unknown Preferences AISTATS 2023
Mixed-Effect Thompson Sampling AISTATS 2023
On the convergence of the MLE as an estimator of the learning rate in the Exp3 algorithm ICML 2023
Short-lived High-volume Bandits ICML 2023
EvolveMT: an Ensemble MT Engine Improving Itself with Usage Only ACL 2023
Towards Scalable and Robust Structured Bandits: A Meta-Learning Framework AISTATS 2023
Adapting to Continuous Covariate Shift via Online Density Ratio Estimation NIPS 2023
Overcoming Prior Misspecification in Online Learning to Rank AISTATS 2023